Articles | Volume 20, issue 8
Hydrol. Earth Syst. Sci., 20, 3379–3392, 2016

Special issue: Geomorphometry: advances in technologies and methods for Earth...

Hydrol. Earth Syst. Sci., 20, 3379–3392, 2016

Research article 23 Aug 2016

Research article | 23 Aug 2016

Case-based knowledge formalization and reasoning method for digital terrain analysis – application to extracting drainage networks

Cheng-Zhi Qin et al.

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Cited articles

Aamodt, A. and Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches, AI Communications, 7, 39–59, 1994.
Chang, K. and Tsai, B.: The effect of DEM resolution on slope and aspect mapping, Cartogr. Geogr. Inf. Syst., 18, 69–77, 1991.
Gregersen, J. B., Gijsbers, P. J. A., and Westen, S. J. P.: OpenMI: open modelling interface, J. Hydroinform., 9, 175–191, 2007.
Grohmann, C. H.: Effects of spatial resolution on slope and aspect derivation for regional-scale analysis, Comput. Geosci., 77, 111–117, 2015.
Hengl, T. and Reuter, H. I.: Geomorphometry: Concepts, Software, Applications, Elsevier, Amsterdam, 2009.
Short summary
Application of digital terrain analysis (DTA), which is typically a modeling process involving workflow building, relies heavily on DTA domain knowledge. However, the DTA knowledge has not been formalized well to be available for inference in automatic tools. We propose a case-based methodology to solve this problem. This methodology can also be applied to other domains of geographical modeling with a similar situation.